Book Review: Paradigms of International Human Rights, by Aaron Xavier Fellmeth
Bibliographic record
Abstract
Aaron Xavier Fellmeth's Paradigms of International Human Rights Law makes an important contribution to the scholarship on international human rights law (IHRL). In the introduction, Fellmeth begins by noting that previous scholarly literature on IHRL has often focused on the content and enforceability of human rights, but that the broader structure and framing of human rights has been undertheorized. With that in mind, Fellmeth identifies that the first purpose of his book “is to begin a structural critique of some of [the] systemic features of IHRL.” The second purpose is “to make some progress in bridging moral theory with legal theory in the human rights field,” since human rights law is particularly imbued with normative assumptions about morality. Despite the ambitious nature of Fellmeth’s proposed undertaking, he goes to great lengths to underscore that the book’s aim is not to develop a comprehensive moral theory of IHRL.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.015 | 0.007 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".